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All Journal JURNAL IQRA´ Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Journal of Applied Data Sciences Jurnal Manajemen Retail Indonesia (JMARI) ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) Startupreneur Business Digital (SABDA Journal) West Science Business and Management International Transactions on Education Technology (ITEE) Blockchain Frontier Technology (BFRONT)
Mochamad Heru Riza Chakim
Universitas Raharja
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science Social Sciences

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Improving Recommender Systems using Hybrid Techniques of Collaborative Filtering and Content-Based Filtering Widayanti, Riya; Chakim, Mochamad Heru Riza; Lukita, Chandra; Rahardja, Untung; Lutfiani, Ninda
Journal of Applied Data Sciences Vol 4, No 3: SEPTEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i3.115

Abstract

This innovative study introduces a novel enhancement to recommendation systems through a synergistic integration of Collaborative Filtering (CF) and Content-Based Filtering (CBF) techniques, termed the hybrid CF-CBF approach. By seamlessly amalgamating the strengths of CF's user interaction insights and CBF's content analysis prowess, this approach pioneers a more refined and personalized recommendation paradigm. The research encompassed meticulous phases, including comprehensive data acquisition, efficient storage management, meticulous data refinement, and the skillful application of CF and CBF methodologies. The findings markedly highlight the prowess of the hybrid approach in generating recommendations that exhibit enhanced diversity and precision, surpassing the outcomes obtained from either technique in isolation. Remarkably, the hybrid CF-CBF approach effectively addresses the inherent shortcomings of individual methods, such as CF's vulnerability to the "cold start" problem and CBF's limitation in fostering recommendation diversity. By fostering a harmonious synergy, this novel approach transcends these limitations and provides a holistic solution. Furthermore, the interplay of CF and CBF augments the recommender system's cognitive grasp of user preferences, subsequently enriching the quality of recommendations provided. In conclusion, this research stands as a pioneering contribution to the evolution of recommendation systems by championing the hybrid CF-CBF approach. By ingeniously fusing two distinct techniques, the study engenders a breakthrough in personalized recommendations, thereby propelling the advancement of more sophisticated and effective recommendation systems.
Pengaruh Kecerdasan Emosional Dan Motivasi Spiritual Terhadap Kinerja Religius SDM Pada Tenaga Pendidikan Fakultas Ekonomi Dan Bisnis Universitas Muhammadiyah Jakarta Sunarti, Sunarti; Hasanah, Hasanah; Chakim, Mochamad Heru Riza; Yuliantoro, Tri
Jurnal Manajemen Retail Indonesia (JMARI) Vol. 5 No. 1 (2024): Jurnal Manajemen Retail Indonesia (JMARI)
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/jmari.v5i1.3134

Abstract

Penelitian ini memiliki bertujuan untuk mengeksplorasi pengaruh kecerdasan emosional dan motivasi spiritual terhadap kinerja religius, Sampel penelitian ini terdiri dari 35 karyawan yang bekerja sebagai tenaga pendidikan di Fakultas Ekonomi dan Bisnis Universitas Muhammadiyah Jakarta. Data dikumpulkan melalui kuesioner dan analisis data menggunakan perangkat statistic SPSS 20. Hasil Penelitian menunjukkan kecerdasan emosional berpengaruh dan signifikan terhadap kinerja religius SDM pada tenaga pendidikan Fakultas Ekonomi dan Bisnis Universitas Muhammadiyah Jakarta karena nila thitung lebih besar dari ttabel dengan nilai 2,198 > 1,309. Selain itu diketahui nilai sig sebesar 0,035, dimana nilai sig lebih kecil dari 0,05 atau 0,035 < 0,05 maka Ho ditolak dan Ha di terima, artinya kecerdasan emosional berpengaruh signifikan terhadap kinerja religius pada tenaga Pendidikan Fakultas Ekonomi dan Bisnis Univeritas Muhammadiyah Jakarta. Motivasi spiritual berpengaruh dan signifikan terhadap kinerja religius DDM pada tenaga pendidikan karena nilai thitung lebih besar dari ttabel dengan nilai 1,642 > 1,309. Selain itu diketahui nilai sig sebesar 0,035, dimana nilai sig lebih kecil dari 0,05 atau 0,035 < 0,05, maka Ho ditolak dan Ha diterima, artinya motivasi spiritual berpengaruh signifikan terhadap kinerja religius pada tenaga pendidikan Fakultas Ekonomi dan Bisnis Universitas Muhammadiyah Jakarta
Keunggulan Kompetitif Berkelanjutan Melalui Teknologi Ritel Cerdas Dan Inovasi Pada UMKM Kota Tangerang Winarti, Wiwin; Chakim, Mochamad Heru Riza; Mulyati, Mulyati; Ramadhan, Muhamad Dicky; Hakim, Yucky Fitriana
Jurnal Manajemen Retail Indonesia (JMARI) Vol. 5 No. 2 (2024): Jurnal Manajemen Retail Indonesia
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/jmari.v5i2.3465

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh teknologi dan inovasi terhadap keunggulan bersaing UMKM di Kota Tangerang. Teknik analisis data yang digunakan metode kuantitatif untuk menguji dan membuktikan hipotesis yang telah dibuat melalui berbagai tes dan pengolahan data, populasi pada penelitian ini adalah para pelaku UMKM Di Kota Tangerang dan teknik pengambilan sampel yang digunakan dalam penelitian ini adalah Metode Kuesioner. Penelitian ini menggunakan metode kuesioner yaitu memakai para pelaku UMKM Kota Tangerang sebagai objek penelitian. Jumlah populasi pada penelitian ini berjumlah 50 responden. Teknik analisis yang dipakai pada penelitian ini adalah Partial Least Square (PLS) dan data diolah menggunakan software SmartPLS . Hasil dari analisis menunjukkan bahwa teknologi memiliki pengaruh signifikan terhadap inovasi (p <0,05). Inovasi juga memiliki pengaruh signifikan terhadap keunggulan kompetitif berkelanjutan (p < 0,05). Begitu juga dengan teknologi memiliki pengaruh signifikan terhadap keunggulan kompetitif berkelanjutan. Dengan demikian penelitian ini bisa membantu lebih bekerja keras lagi bagi para pelaku Usaha Mikro Kecil Menengah (UMKM) diharapkan untuk menambah variasi produk guna menarik pembeli dan meningkatkan omset penjualan, tanpa merubah produk yang sudah ada, menggunakan strategi lain untuk mempertahankan usahanya, melakukan inovasi atau mengganti jenis produk yang dijual, selalu mempertahankan daya saing, produk/layanan yang berkualitas, serta kepuasan pelanggan karena dengan begitu pelanggan akan lebih merasa sangat puas atas apa yang diperoleh melalui informasi yang didapat
Management of Educational Institutions through Information Systems for Enhanced Efficiency and Decision-Making Sunarjo, Richard Andre; Chakim, Mochamad Heru Riza; Maulana, Sabda; Fitriani, Gaby
International Transactions on Education Technology (ITEE) Vol. 3 No. 1 (2024): International Transactions on Education Technology (ITEE)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/itee.v3i1.670

Abstract

This paper explores the application of information systems in the management of educational institutions, aiming to enhance operational efficiency and support informed decision-making processes. Educational institutions face growing demands for streamlined administration and resource optimization, which form the background of this study. The objective is to assess the effectiveness of implementing information systems tailored to manage complex educational processes and institutional needs. A mixed-method approach was employed, combining quantitative analysis of system usage data and qualitative feedback from administrators and educators within various institutions. This method allowed for a comprehensive understanding of the impacts and challenges associated with integrating these technologies. Results reveal that institutions using information systems report significant improvements in administrative efficiency, resource management, and data-driven decision-making capabilities, as well as enhanced stakeholder satisfaction. Furthermore, the findings suggest that well-designed information systems reduce redundant administrative tasks, enabling staff to allocate more time toward core educational activities. In conclusion, the adoption of tailored information systems for educational institutions not only enhances management efficiency but also supports a culture of informed decision-making, paving the way for more responsive and adaptive educational environments. These insights underscore the value of integrating technology into educational administration, offering a strategic path toward more effective institutional management.
Enhancing Personalized Learning Using Artificial Intelligence and Machine Learning Approaches Shaumiwaty, Shaumiwaty; Mochamad Heru Riza Chakim; Heni Nurhaeni; Victorianda
Blockchain Frontier Technology Vol. 4 No. 2 (2025): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v4i2.715

Abstract

The convergence of artificial intelligence (AI) and machine learning (ML) technologies has revolutionized the education landscape, shifting paradigms toward individualized and optimized learning environments. By harnessing AI predictive power and ML adaptive capabilities, educational outcomes are enhanced while equipping teachers with data driven insights for informed decision making. The primary objective of this research is to explore how customized learning environments, ML models, performance measurement, and AI algorithms improve educational outcomes and learning experiences. Despite the rapid advancements in AI driven education, a gap exists in the integration of AI powered personalization with statistical validation techniques like SmartPLS, particularly in evaluating its direct impact on student engagement and performance. The novelty of this study lies in its emphasis on AI driven customization in learning, utilizing advanced statistical validation techniques to provide empirical support for personalized education models. The method involves a survey based approach combined with SmartPLS statistical modeling to analyze correlations between AI driven learning adaptations and educational outcomes. The findings from the result and discussion indicate a positive impact of AI algorithms and ML models on academic success, individualized learning, and improved performance measures, with most hypotheses yielding significant results. These insights align with emerging trends in personalized and adaptable learning and technological advancements, such as immersive experiences and the integration of virtual reality. By addressing the research gap and validating AI driven learning models through SmartPLS, this study contributes to the growing body of knowledge in AI enhanced education, demonstrating the effectiveness of intelligent, data-driven learning environments in fostering better academic performance and engagement.
Innovation Behavior Research: Global Trends and Emerging Themes in Entrepreneurial Business Practices Chakim, Mochamad Heru Riza; Utami, Rahayu Tri; Sitanggang, Tantri Wenny; Tanjung, Azrul; Rizky, Agung; Beldiq, Eiser Aaron
Aptisi Transactions On Technopreneurship (ATT) Vol 6 No 3 (2024): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v6i3.476

Abstract

Innovation behavior research has emerged as a critical field due to its role in enhancing business competitiveness and organizational performance. This bibliometric analysis aims to provide a comprehensive understanding of global trends and emerging themes in innovation behavior research from 2015 to 2024. Using the Dimensions database, 11,798 articles were identified and analyzed with VOSviewer software. The results reveal that Australia, China, the United Kingdom, and the United States are the top contributors to this research, with strong international collaboration networks highlighting its global nature. Brock University, Jiangsu University, and Erasmus University Rotterdam stand out for their collaborative networks and strategic research directions. In the author-based analysis, research efforts primarily focus on the relationship between entrepreneurial orientation, transformational leadership, and innovation behavior. Frontiers in Psychology and Sustainability emerge as influential journals, covering topics such as digital transformation, organizational behavior, and sustainable business practices. Groundbreaking studies have developed frameworks linking innovation behavior with knowledge sharing, digital transformation, and conflict management. Keyword co-occurrence analysis highlights "innovation", "performance", and "leadership" as frequently occurring terms, reflecting a core focus on understanding how innovation directly impacts organizational outcomes and the importance of transformational leadership in fostering innovation behavior. The findings provide valuable insights into global innovation behavior research, identifying emerging interdisciplinary themes like digital transformation and sustainability. Future research should explore global collaboration networks, interdisciplinary approaches, and the influence of leadership styles on innovation behavior.
The Development of Digital Teaching to Improve the Quality of Student Learning in the Revolution 4.0 Era at Warmadewa University I Wayan Parwata; Suwarni; Ahmad Hariyadi; Zulkarnaini; Mochamad Heru Riza Chakim
Jurnal Iqra' : Kajian Ilmu Pendidikan Vol. 8 No. 1 (2023): Jurnal Iqra' : Kajian Ilmu Pendidikan
Publisher : Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/ji.v8i1.3199

Abstract

To complete the answers to the research on the topic of producing digital learning to enhance the quality of student learning in the technological revolution 4.0 era at the University of Warmadewa, the researchers have gathered various materials that respond to research questions. Similarly, to collect primary data, the researchers interviewed 30 academics (students and lecturers) at the University of Warmadewa to learn about their perspectives and experiences in developing digital-based teaching to improve student learning outcomes during regular and throughout education. Hence, it reviewed different data sets, both in the form of secondary source data from various publications connected to Technology and instruction and data that the researchers questioned academics to find answers to. The researchers could simplify the development of digital teaching to improve the quality of student learning in the Revolution 4.0 era at Warmadewa University. It has resulted several new understandings, such as Technology has innovated the learning process as the digital application have helped academics in solving learning challenge and bring more benefits. It hopes these findings bring new insights into learning in higher education and policy-making uses. Keywords: Development Digital Teaching, Improving Students’ Quality, Learning Revolution
Integration of Artificial Intelligence in Digital Marketing Strategies Based on Business Data Analytics: Integrasi Kecerdasan Buatan dalam Strategi Pemasaran Digital Berbasis Analisis Data Bisnis Aini, Qurotul; Dyatmika, Sutama Wisnu; Chakim, Mochamad Heru Riza; Khasanah, Miftakhul; Queen, Zabenaso
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 1 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i1.1230

Abstract

The digital transformation in the era of Artificial Intelligence (AI) has revolutionized marketing practices by placing data analysis at the core of adaptive and precision-based strategies. This study aims to analyze how the integration of AI and business data analytics can strategically and sustainably enhance the effectiveness of digital marketing. The research method employs a qualitative approach through literature review and case analysis of AI implementation in digital business contexts. The findings indicate that the use of AI in market segmentation, consumer behavior prediction, and content personalization significantly improves conversion rates, customer loyalty, and marketing cost efficiency. Moreover, this technological integration also supports the achievement of the Sustainable Development Goals (SDGs), particularly Goal 8 (decent work and economic growth) and Goal 9 (industry, innovation, and infrastructure). These findings highlight the importance of strengthening digital capabilities through the adoption of AI-based technology and data analytics as a foundation for building responsive, innovative, and sustainable marketing strategies aligned with the demands of the digital economy.
Analisis ‘Four Driven in Buying Behavior’ sebagai Dasar Preferensi Konsumen untuk UMKM Dwitarwasto, Toto; Chakim, Mochamad Heru Riza; Fong, Joan; Abyantoro, Dody
Jurnal Manajemen Retail Indonesia (JMARI) Vol. 6 No. 2 (2025): Jurnal Manajemen Retail Indonesia
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini akan menganalisis Empat Dorongan Utama (Four Driven) didalam Preferensi Konsumen yang terdiri dari Inner Driven, Physical Driven, Social Driven dan Financial Driven dalam preferensi Konsumen untuk melihat dorongan mana yang lebih intens dalam satu sektor pasar UMKM, sehingga para pelaku UMKM bisa memprediksi strategi apa yang akan diambil baik dari sisi penyediaan barang dan jasa ataupun strategi bisnis marketing dan penjualannya. Metode penelitian yang digunakan adalah kualitatif deskriptif, dimana dimulai dengan penjelasan teknik pengambilan survey , pencatatan dan pengolahan survey pada group responden terpilih, kemudian dilanjutkan dengan pembuatan tabel Four Driven in Buying Behavior dengan Teknik Konversi, setelah itu dilakukan skor penilaian hasil Konversi, lanjut dengan Analisa Statistik Rata-rata secara Mean Average dan Weighted Average untuk mendapatkan Nilai Persentase Akhir sampai tahap terakhir dengan visualisasi grafik. Group Responden A mencatatkan skor tertinggi untuk Financial Driven (F driven) dan Physical Driven (P driven) dengan persentase masing-masing sebesar 29% dan 28%. Hal ini menunjukkan bahwa konsumen dalam kelompok ini lebih memprioritaskan pertimbangan finansial dan aspek fisik dalam pengambilan keputusan pembelian mereka. Di sisi lain, Group Responden B menunjukkan skor tertinggi untuk Inner Driven (I driven) dan Financial Driven (F driven) dengan persentase 31% dan 25%, mengindikasikan bahwa konsumen dalam kelompok ini lebih terdorong oleh motivasi internal dan pencarian makna dalam pembelian mereka, meskipun tetap mempertimbangkan aspek finansial. Dengan demikian, pemahaman yang mendalam tentang preferensi ini dapat membantu UMKM dalam merancang strategi pemasaran yang lebih efektif dan sesuai dengan kebutuhan konsumen
Digital Branding on Instagram and TikTok Driving Engagement for Cardboard Box Products Mochamad Heru Riza Chakim; Mulyati; Nasution, Erni Juliana Al Hasanah; Perez, Carlos; Septiani, Nanda
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i3.2511

Abstract

This study examines how digital branding on Instagram and TikTok, digital pro- motion, and product quality shape customer engagement and purchase intention in the packaging sector, using nuansa box indonesia Indonesia as the focal case. Gap research predominantly explores fashion, cosmetics, and F&B industries, leaving limited evidence on B2B/B2C packaging where products are often per- ceived as merely functional. We provide an in-depth case of a packaging brand and model the mediating role of customer engagement between digital strat- egy (branding, promotion) and purchase intention, estimated via PLS-SEM. The measurement model is robust (all loadings > 0.70; AVE > 0.50; Cronbach’s Alpha and Composite Reliability > 0.70). The structural model shows substan- tial explanatory power for purchase intention (R2 = 0.748). Product Quality is the strongest driver of Purchase Intention (β = 0.401), while Customer Engage- ment positively influences Purchase Intention (β = 0.288) and is significantly driven by Digital Branding (β = 0.489) and Digital Promotion (β = 0.375). The direct path from Digital Promotion to Purchase Intention is not significant (p = 0.060). Results indicate that compelling digital branding cultivates en- gagement that converts to purchase intention, but promotion alone is insufficient without strong product fundamentals. Managerially, firms should prioritize con- sistent, aesthetic branding to build engagement, leverage targeted promotions to activate trials, and sustain investment in product excellence as the ultimate lever of conversion and loyalty.
Co-Authors Abyantoro, Dody Adam Faturahman Ade Suhara Adiwijaya, Alfri Afridian Wirahadi Ahmad Agustina, Liza Agustinus Talindong Ahmad Hariyadi Aliyah Ariesmansyah, Andre Astuti, Eka Dian Beldiq, Eiser Aaron Cakranegara, Pandu Adi Chandra Lukita Dahlia Pinem Dhiyah Ayu Rini Kusumawardhani Dimas Bagus Saputra Dinarwati, Sri Dwi Julianingsih Dwitarwasto, Toto Dyatmika, Sutama Wisnu Erika Erika Fauzan Manafi Albar Fitriani, Gaby Fong, Joan Greian April Pangilinan Hakim, Yucky Fitriana Hasanah Hasanah Hefri Yodiansyah Heni Nurhaeni Hiroshi Kenta Hua, Chua Toh I Wayan Parwata I Wayan Ruspendi Junaedi Ihsan Nuril Hikam Khairul Lena Magdalena Lestari, Anggun Hilendri Marviola Hardini Maulana, Sabda Mayasari, Nanny Miftakhul Khasanah Mohamad Muspawi Mulyati Mulyati Mulyati Mulyati Mulyati Nanny Mayasari Nasution, Erni Juliana Al Hasanah Ninda Lutfiani Pérez, Carlos Po Abas Sunarya Pusparanti, Sonia Queen, Zabenaso Qurotul Aini Rafika, Ageng Setiani Ramadhan, Muhamad Dicky Riya Widayanti Rizky, Agung Rizqillah, Abrar Safitri, Hanny Sandy Kosasi seprianti eka putri Septiani, Nanda Shaumiwaty, Shaumiwaty Suhara, Ade Sunarjo, Richard Andre Sunarti Suwarni Talindong, Agustinus Tanjung, Azrul Tantri Wenny Sitanggang Untung Rahardja Utami, Rahayu Tri Vertika Agarwal Victorianda Wijayanti, Cahya Winarti, Wiwin Yodiansyah, Hefri Yuliantoro, Tri Zebua, Selamat Zulkarnaini